After a long and complex development period, we are glad to announce that version 0.11.0 of DataFrames has been released. Among other features listed in the release notes , the major change introduced by this version is the move from the NA value (from the DataArrays package) to the new missing value…

:tada: Christmas did come early this year! :fireworks:

I guess the Julia data frame is similar to the R data frame, but now R has a new data format called tibble, and I really would like to see the Julia version of tibble.

@Yifan_Liu can you comment on the advantages of tibble compared to dataframes? Thank you @nalimilan for the great work.

@Yifan_Liu tibble is just another form of data.frame. It is actually just a data.frame in the backend but it defines methods on top of data.frames so that it prints nicer and have more sensible defaults. Put simply, tibble is just a more sensible interface on top of data.frames. DataFrames.jl isn’t …

[image] nalimilan: … , the major change introduced by this version is the move from the NA value (from the DataArrays package) to the new missing value (from the Missings package, and soon in Base ). DataFrames have been completely decoupled from DataArrays: … Does that means that DataArrays …

No, DataArrays continues to work as it did before (it was even clean up a bit in the new release). Only PooledDataArray is deprecated. DataArray should not be turned into an alias for AbstractArray{Union{T, Missing}}: if we did that, we would essentially remove DataArray. We hope that at some point…

This is fantastic, thank you! Could anyone in the know tell me what is the status with IterableTables.jl / Query.jl support? (I’m aware of the PR-s but they have been quiet for a while now.) And a recap as asked by @ChrisRackauckas would indeed be very welcome.

@nalimilan Fantast work, Thank you very much! It’s basic and import for Julia data science, especially for users from R :grinning:

I think the major issue was that DataFrames was on such an accelerated path of improvement that any work saved by keeping DataArrays meant far greater losses in potential additions and enhancements. I’ve been following and weakly contributing for months now and, in my opinion, it was the right thing…

When will I be able to get it via Pkg.update()? For now I am still on 0.10.1 and I don’t get an update via Pkg.update().

DataFrames 0.11 released

Specific Domains Data

nalimilan December 19, 2017, 1:19pm 29

There’s a PR pending for RDatasets:
https://github.com/johnmyleswhite/RDatasets.jl/pull/48

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How to upgrade from DataFrames 0.10.1 to 0.11.3?

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DataFrames 0.11 released

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